Literature DB >> 12363222

High resolution unenhanced computed tomography in patients with swollen legs.

E D Monnin-Delhom1, B P Gallix, C Achard, J M Bruel, C Janbon.   

Abstract

PURPOSE: To evaluate the accuracy of computed tomography (CT) scan imaging in distinguishing lymphedema from deep venous thrombosis (DVT) and lipodystrophy (lipedema) in patients with swollen legs.
MATERIAL AND METHODS: CT scans of the lower limbs were performed in 55 patients with 76 swollen legs (44 lymphedemas, 12 DVT and 20 lipedemas). Thirty-four normal contralateral legs were also similarly evaluated. Primary lymphedema was verified by lymphography or lymphoscintigraphy, whereas secondary lymphedema was documented by a typical clinical history. DVT was established by ultrasound Doppler imaging. The diagnosis of lipedema was made with bilateral swollen legs where lymphoscintigraphy and Doppler examination were both unremarkable. Qualitative CT analysis was based on skin thickening, subcutaneous edema accumulation with a honeycombed pattern, and muscle compartment enlargement.
RESULTS: Sensitivity and specificity of CT scan for the diagnosis of lymphedema was 93 and 100%, respectively; for lipedema it was 95 and 100%, respectively; andfor DVT it was 91 and 99%, respectively. Skin thickening was found in 42 lymphedemas (95%), in 9 DVT (75%), and in 2 lipedemas (16%). Subcutaneous edema accumulation was demonstrated in 42 legs (95%) with lymphedema and in 5 (42%) with DVT but in none with lipedema. A honeycombed pattern was present only in lymphedema (18 legs or 41%); muscle enlargement was present in all patients with DVT, in no patient with lipedema, and in 4 (9%) with lymphedema.
CONCLUSION: Edema accumulation is readily demonstrated with plain CT scan and is not present in lipedema. Specific CT features of the subcutaneous fat and muscle compartments allow accurate differentiation between lymphedema and DVT.

Entities:  

Mesh:

Year:  2002        PMID: 12363222

Source DB:  PubMed          Journal:  Lymphology        ISSN: 0024-7766            Impact factor:   1.286


  10 in total

1.  Differentiating lipedema and Dercum's disease.

Authors:  K Beltran; K L Herbst
Journal:  Int J Obes (Lond)       Date:  2016-11-18       Impact factor: 5.095

2.  Comparison of characteristic CT findings of lymphedema, cellulitis, and generalized edema in lower leg swelling.

Authors:  Sung Ui Shin; Whal Lee; Eun-Ah Park; Cheong-Il Shin; Jin Wook Chung; Jae Hyung Park
Journal:  Int J Cardiovasc Imaging       Date:  2013-11-30       Impact factor: 2.357

Review 3.  Lipedema-Pathogenesis, Diagnosis, and Treatment Options.

Authors:  Philipp Kruppa; Iakovos Georgiou; Niklas Biermann; Lukas Prantl; Peter Klein-Weigel; Mojtaba Ghods
Journal:  Dtsch Arztebl Int       Date:  2020-06-01       Impact factor: 5.594

4.  Computed Tomography as an Objective Measurement Tool for Secondary Lymphedema Treated With Extracorporeal Shock Wave Therapy.

Authors:  So-Yeon Kim; Hasuk Bae; Hye Min Ji
Journal:  Ann Rehabil Med       Date:  2015-06-30

5.  Primary lymphedema of the lower limb: the clinical utility of single photon emission computed tomography/CT.

Authors:  Mayo Weiss; Ruediger G H Baumeister; Andreas Frick; Jens Wallmichrath; Peter Bartenstein; Axel Rominger
Journal:  Korean J Radiol       Date:  2015-01-09       Impact factor: 3.500

6.  Computed tomography-based quantitative assessment of lower extremity lymphedema following treatment for gynecologic cancer.

Authors:  Ji Sung Yoo; Seung Hyun Chung; Myong Cheol Lim; Young Jae Kim; Kwang Gi Kim; Ji Hye Hwang; Yun Hee Kim
Journal:  J Gynecol Oncol       Date:  2016-12-07       Impact factor: 4.401

7.  Effectiveness of Vascularized Lymph Node Transfer for Extremity Lymphedema Using Volumetric and Circumferential Differences.

Authors:  Olivia A Ho; Sung-Yu Chu; Yen-Ling Huang; Wen-Hui Chen; Chia-Yu Lin; Ming-Huei Cheng
Journal:  Plast Reconstr Surg Glob Open       Date:  2019-02-13

8.  Quality of life, its factors, and sociodemographic characteristics of Polish women with lipedema.

Authors:  Joanna E Dudek; Wojciech Białaszek; Marcin Gabriel
Journal:  BMC Womens Health       Date:  2021-01-15       Impact factor: 2.809

9.  Deep learning-based quantitative estimation of lymphedema-induced fibrosis using three-dimensional computed tomography images.

Authors:  Kyo-In Koo; Chang Ho Hwang; Hyewon Son; Suwon Lee; Kwangsoo Kim
Journal:  Sci Rep       Date:  2022-09-13       Impact factor: 4.996

10.  Comparison of a novel algorithm quantitatively estimating epifascial fibrosis in three-dimensional computed tomography images to other clinical lymphedema grading methods.

Authors:  Kyo-In Koo; Myoung-Hwan Ko; Yongkwan Lee; Hye Won Son; Suwon Lee; Chang Ho Hwang
Journal:  PLoS One       Date:  2019-12-10       Impact factor: 3.240

  10 in total

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